{"id":"W3098594905","doi":"10.1051/0004-6361/202039655","title":"MIGHTEE-HI: The H I emission project of the MeerKAT MIGHTEE survey","year":2020,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Ministero degli Affari Esteri e della Cooperazione Internazionale; University of the Western Cape; Center for High Performance Computing; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Hintze Family Charitable Foundation; University of Pretoria; University of Cape Town; Science and Technology Facilities Council; National Research Foundation; Department of Science and Technology, Ministry of Science and Technology, India; National Aeronautics and Space Administration","keywords":"Galaxy; Photometry (optics); Stellar mass; Galaxy formation and evolution; Star formation; Statistical survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009534736,0.000392874,0.0002959836,0.001560618,0.0005371223,0.001331388,0.0007583553,0.0004881099,0.007198093],"category_scores_gemma":[0.001392251,0.0002324737,0.0002920063,0.0015853,0.0002292609,0.0007383712,0.001680249,0.0005723903,0.004374699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032743,"about_ca_system_score_gemma":0.001158393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03513511,"about_ca_topic_score_gemma":0.02858714,"domain_scores_codex":[0.9994691,0.00007642263,0.00001292782,0.0001433538,0.0001445752,0.0001536323],"domain_scores_gemma":[0.9991627,0.00004960678,0.000157761,0.0001663129,0.0001344148,0.0003292685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001657585,0.0003798143,0.3769426,0.0005193224,0.000355791,0.0005351717,0.001367545,0.003611584,0.0234784,0.01905774,0.2828338,0.2892607],"study_design_scores_gemma":[0.0002374827,0.0001087472,0.481879,0.00007639122,0.00007095648,0.0003062035,0.0002777995,0.002338896,0.002012586,0.003031598,0.5096009,0.00005938131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4239522,0.006450101,0.03247127,0.00498145,0.0004391855,0.00120411,0.3914114,0.005092367,0.1339979],"genre_scores_gemma":[0.5187316,0.002299776,0.06352106,0.001951791,0.0006901937,0.0009888789,0.371052,0.001376131,0.03938869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03513511,"threshold_uncertainty_score":0.06986123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332425968169849,"score_gpt":0.2060423394916822,"score_spread":0.1927180798099837,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}